Browsing by Author "Maleka, Manuel"

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    Developing a work management system to create an integrated and optimal short-term planning process at South Deep Mine
    (University of the Witwatersrand, Johannesburg, 2024) Maleka, Manuel
    This research was conducted at South Deep Mine, an underground trackless gold mine located within the Modderfontein Farm in the Westonaria District, Southwest of Johannesburg. The aim of this study was to develop a work management system to create an integrated and optimal short-term planning process at South Deep Mine. The study employed both quantitative and qualitative research methods to achieve its objectives. Most of the data was obtained through an online survey which targeted individuals employed within the mine technical services department. The problem being addressed in this research is the challenge associated with manual data capturing during planning sessions. This research is driven by a desire to improve work efficiency and mine productivity at South Deep Mine through the application of innovative planning and reporting tools. Literature review presented the importance of innovation and effective planning in mining operations, indicating the role of integrated work management systems in modernized underground mining environments. Work Management Systems investigated were Deswik and MineRP software and Syncromine reporting system. The results reflected that Deswik and Syncromine are used throughout the industry with some benefits such as the ability to produce integrated production reports and the reliability in data handling. However, data analysis revealed shortcomings in existing work management systems, particularly in addressing real-time data and promoting automation. The aims of this research were achieved through the development of a systemized planning protocol. The study highlighted the need for an iv integrated approach to address short-term planning challenges. Future studies include the adoption of user-friendly software tailored with site specific requirements and the development of models covering all aspects of the mining value chain.